Shroom Visions

Welcome to the official shared task website for SHROOM-visions, a model-agnostic hallucination detection task focusing on large vision-language models (LVLMs). This task invites participants to detect and classify fine-grained hallucination spans in image-conditioned text outputs, using a novel dataset designed for enduring evaluation across model generations. The task consists of detecting and classifying spans of text corresponding to hallucinations in image-conditioned outputs.